DEPLOYDatabase

Chip comparison

Cambricon MLU370-X8 vs SambaNova SN40L

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldCambricon MLU370-X8SambaNova SN40L
Process nodeTSMC N7TSMC N5
TDP250 W700 W
Memory48 GB LPDDR51500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)
FP16 (dense)96 TFLOPS638 TFLOPS
FP8 (dense)1,250 TFLOPS
INT8 (dense)256 TOPS
Form factorPCIePCIe (SN40L DataScale system)
Announced2022-03-252023-09-19
Released2024-01-01

Robots running Cambricon MLU370-X8

No robots publicly running it yet.

Robots running SambaNova SN40L

No robots publicly running it yet.

Data centers with Cambricon MLU370-X8

No data centers publicly running it yet.

Data centers with SambaNova SN40L

No data centers publicly running it yet.

Common questions

Cambricon MLU370-X8 vs SambaNova SN40L: which is faster for training?

SambaNova SN40L has 13.02x the dense FP16/BF16 throughput of the other (Cambricon MLU370-X8: 96 TFLOPS; SambaNova SN40L: 1,250 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Cambricon MLU370-X8 vs SambaNova SN40L: which has more memory?

SambaNova SN40L carries more HBM (Cambricon MLU370-X8: 48 GB LPDDR5; SambaNova SN40L: 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Cambricon MLU370-X8 vs SambaNova SN40L: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Cambricon MLU370-X8 0.38 (96 ÷ 250 W); SambaNova SN40L 1.79 (1,250 ÷ 700 W). SambaNova SN40L wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Cambricon MLU370-X8 full page · SambaNova SN40L full page.